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AI Engineer with 1+ years in AI, Data Engineering, and Machine Learning.
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Assessing your cultural and operational fit
Engineer specialized in Artificial Intelligence, Data Engineering, and Machine Learning. Experienced in designing and developing end-to-end AI solutions including Computer Vision, Retrieval-Augmented Generation (RAG), and Full-Stack applications. Contributed to large-scale data migration, transformation, and validation projects for critical systems. Motivated to rapidly contribute to the development of high-impact products.
National School of Computer Science and Systems Analysis (ENSIAS)
Engineering Degree · Intelligent Systems Engineering
August 1, 2022 – June 30, 2025
Insurbt
Freelance Data Engineer
February 1, 2026 – May 1, 2026
Casablanca, Casablanca-Settat, Morocco
Scientiae
AI Intern
February 1, 2025 – June 1, 2025
Rabat, Morocco
Forleaders
AI Intern
July 1, 2024 – August 1, 2024
Rabat, Morocco
OCP Jorf Lasfar
Network Engineering Intern
June 1, 2023 – June 1, 2023
Jorf Lasfar, El Jadida Province, Morocco
License Plate Detection System
June 29, 2026 – Present
• Designed a complete vehicle and license plate detection system using YOLOv5 and OCR • Optimized YOLOv5 inference through ONNX export, reducing latency • Deployed the processing pipeline as an asynchronous REST API using FastAPI with SQLite storage
Smart Access Management System
June 29, 2026 – Present
• Developed an access control system with face-mask detection and contactless temperature measurement • Integrated sensors and cameras with real-time processing • Implemented an alerting and logging system for security monitoring
Advanced AI Assistant Agents
June 29, 2026 – Present
• Developed a conversational AI assistant based on RAG for document analysis and querying • Designed and implemented a hybrid agentic RAG system combining BM25 and semantic search with source-grounded answer generation • Used PostgreSQL and PgVector for vector storage and retrieval • Implemented a hybrid retrieval pipeline combining BM25 and semantic search
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from conversational AI to access management systems, indicates a broad interest in applying AI across different domains. The experience in both AI/ML and data engineering, coupled with full-stack exposure, suggests a versatile individual who can contribute to various aspects of a project. The academic background in 'Intelligent Systems Engineering' aligns well with an AI Engineer role, demonstrating a focused career path. The candidate's involvement in personal projects further highlights initiative and passion for the field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a capacity for independent work. The variety of projects and internships suggests adaptability and a willingness to learn new technologies. The freelance data engineering role also points to an ability to handle critical system migrations and data anomalies, indicating a detail-oriented and responsible work attitude. However, without direct interview data, assessing collaboration and stress handling is difficult.